Custom Software Engineer

Project Role : Custom Software Engineer Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs. Must have skills : Python (Programming Language) Good to have skills : Generative AI Minimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary: Owns the automation architecture for application support operations and leads delivery using Python, Generative AI and Agentic AI. Converts opportunities across incidents, requests, batch, observability and alerts into reusable workflows. Roles & Responsibilities: Architecture — Define and govern automation architecture across ITIL phases: HLD/LLD and standards. Design authority — SME for Python automation, GenAI and Agentic AI owns design decisions. GenAI/Agentic AI — Agent orchestration, tool calling, RAG over runbooks, knowledge assistants. Automation scope — Ticketing (triage, routing, auto-remediation, RCA) and non-ticketing (batch, health checks, data fixes, access, reports). SRE/observability — SLI/SLO, golden signals, self-healing, alert noise reduction. Engineering discipline — Govern integrations, CI/CD, coding standards, Responsible AI guardrails. Leadership — Build the automation business case, present outcomes and mentor the team. Professional & Technical Skills: Must-have skills Advanced Python with enterprise automation architecture and hands-on GenAI and Agentic AI development. 10+ years in software or automation engineering with production assets and architecture ownership. GenAI: prompt engineering, RAG, LLM integration, guardrails. Agentic AI: LangChain, LangGraph, AutoGen or CrewAI on Azure OpenAI or Bedrock. REST API, JSON, SQL and scripting integration and event-driven design. SRE, event correlation, observability (Dynatrace, Splunk, Grafana, ELK), DevOps/CI-CD, ITIL. Stakeholder management and business outcome articulation with client architects and leadership. Good-to-have skills Vector databases (Azure AI Search, Pinecone, ChromaDB, FAISS), knowledge graphs, cloud (Azure, AWS, GCP). Additional Information: India or Global Delivery Center locations, hybrid 15 years full-time education. Preferred certifications: Python, cloud, Generative AI, ITIL or observability. Success measures: assets deployed, effort and ticket reduction, MTTR and alert noise. 15 years full time education Important Notice We have been alerted to the existence of fraudulent messages asking job seekers to set up payment to cover various costs associated with establishing employment at Accenture. No one is ever required to pay for employment at Accenture. If you are contacted by someone asking for payment, please do not respond, and contact us at india.fc.check@accenture.com immediately. Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.